最新模型
FTF-bench Shows Multimodal Agents Sacrifice Necessary Conditions; FTF-RL Introduces Hierarchical Reward Training
Researchers used shopping, hotel-booking, and ride-hailing interfaces to test whether agents satisfy necessary conditions before optimizing preferences. FTF-RL incorporates output format, answer correctness, and condition classification into its reward, but the code and pretrained models promised by the authors have yet to be released.